---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9613

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 33   | 3.4739          |
| 4.5266        | 2.0   | 66   | 3.4064          |
| 4.5266        | 3.0   | 99   | 3.2739          |
| 3.2133        | 4.0   | 132  | 3.3611          |
| 3.3196        | 5.0   | 165  | 3.1082          |
| 3.3196        | 6.0   | 198  | 3.2548          |
| 2.9882        | 7.0   | 231  | 3.2691          |
| 3.1559        | 8.0   | 264  | 3.2925          |
| 3.1559        | 9.0   | 297  | 3.1214          |
| 2.9855        | 10.0  | 330  | 3.0595          |
| 2.8269        | 11.0  | 363  | 3.0367          |
| 2.8269        | 12.0  | 396  | 3.0276          |
| 2.7938        | 13.0  | 429  | 3.0012          |
| 2.7678        | 14.0  | 462  | 2.9559          |
| 2.7678        | 15.0  | 495  | 2.9613          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1